F. Farenc and C. , Ergoval: Une méthode de structuration des règles ergonomiques permettant l'évaluation automatique d'interfaces graphiques, Thèse soutenue à l'Université de, 1997.

R. M. Felder and L. K. Silverman, Learning and Teaching Styles in Engineering Education, Engr. Education, vol.78, issue.7, pp.674-681, 1988.

C. Fisher, Protocol Analyst's Workbench: Design and Evaluation of Computer-Aided Protocol Analysis, 1991.

J. G. Ganascia, Extraction of Recurrent Patterns from Stratified Ordered Trees, European Conference on Machine Learning, pp.167-178, 2002.
DOI : 10.1007/3-540-44795-4_15

D. Gentner and R. M. , Language an the carrer of similarity. Perspective on thought and language: Interrelations in development, pp.225-277, 1991.

G. Gibson and E. J. , How perception really develops: A view from outside the network. Basic processes in reading: Perception and comprehension, pp.155-173, 1977.

G. Guzdial and M. J. , Deriving software usage patterns from log files. Georgia Institute of Technology, 1993.

H. R. Hartson, A. C. Siochi, and D. Hix, The UAN: a user-oriented representation for direct manipulation interface designs, ACM Transactions on Information Systems, vol.8, issue.3, pp.181-203, 1990.
DOI : 10.1145/98188.98191

D. M. Hilbert, J. E. Robbins, and R. D. , Supporting Ongoing User Involvement in Development via Expectation-Driven Event Monitoring, 1997.

D. M. Hilbert and D. F. Redmiles, Extracting usability information from user interface events, ACM Computing Surveys, vol.32, issue.4, pp.384-421, 2000.
DOI : 10.1145/371578.371593

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.46.5077

K. J. Holyoak and P. Thagard, Mental leaps: Analogy in creative thought, 1995.

M. Y. Ivory and M. A. Hearst, The state of the art in automating usability evaluation of user interfaces, ACM Computing Surveys, vol.33, issue.4, pp.470-516, 2001.
DOI : 10.1145/503112.503114

T. Jeron, H. Marchand, and M. O. Et-cordier, Motifs de surveillance pour le diagnostic de systèmes à événements discrets, Congrès Reconnaissance des formes et Intelligence Artificielle), 2006.

B. E. John and D. E. Kieras, The GOMS family of user interface analysis techniques: comparison and contrast, ACM Transactions on Computer-Human Interaction, vol.3, issue.4, pp.320-351, 1996.
DOI : 10.1145/235833.236054

A. Kobsa, J. Koenemann, and W. Pohl, Personnalised hypermedia presentation techniques for improving online custumer relationships, 2001.

D. A. Kolb, The Learning Style Inventory: Technical Manual, 1976.

J. Kort and H. De-poot, Usage analysis, CHI '05 extended abstracts on Human factors in computing systems , CHI '05, 2005.
DOI : 10.1145/1056808.1057117

C. Leslie, E. Eskin, and W. S. Noble, THE SPECTRUM KERNEL: A STRING KERNEL FOR SVM PROTEIN CLASSIFICATION, Biocomputing 2002, 2002.
DOI : 10.1142/9789812799623_0053

M. Lesot and B. Bouchon-meunier, Cluster characterization through a representativity measure. Flexible Query Answering Systems, pp.446-458, 2004.

A. T. Lettkeman, S. Stumpf, J. Irvine, and J. Herlocker, Predicting Task-Specific Webpages for Revisiting, 21st National Conference on Artificial Intelligence (AAAI-06), 1920.

V. I. Levenshtein, Methods for obtaining bounds in metric problems of coding theory, IEEE-USSR Joint Workshop on Information Theory, pp.126-143, 1976.

H. Lodhi, C. Saunders, J. Shawe-taylor, N. Cristianini, and C. Watkins, Text Classification using String Kernels, Journal of Machine Learning Research, vol.2, pp.419-444, 2002.

B. Mccarthy, The 4 MAT System: Teaching to Learning Styles with Right/Left Mode Techniques, 1987.

J. B. Macqueen, Some Methods for classification and Analysis of Multivariate Observations, Proceedings of 5-th Berkeley Symposium on Mathematical Statistics and Probability, pp.281-297, 1967.

F. Masseglia, F. Cathala, and P. Poncelet, The PSP approach for mining sequential patterns, Proceedings of the 2nd European Symposium on Principles of Data Mining and Knowledge Discovery (PKDD'98), LNAI, pp.176-184, 1998.
DOI : 10.1007/BFb0094818

F. Masseglia, P. Poncelet, and M. Teisseire, Incremental mining of sequential patterns in large databases, Data & Knowledge Engineering, vol.46, issue.1, pp.97-121, 2003.
DOI : 10.1016/S0169-023X(02)00209-4

URL : https://hal.archives-ouvertes.fr/lirmm-00269547

F. Masseglia, P. Poncelet, and M. Teisseire, Extraction de motifs séquentiels : problèmes et méthodesExtraction de motifs dans les bases de données, Ingénierie des Systèmes d'Information (ISI), numéro spécial, pp.3-4, 2004.

A. Ng, M. Jordan, and Y. Weiss, On spectral clustering: Analysis and an algorithm, Proceedings of Advances in Neural Information Processing Systems 14, 2001.

B. Padmanabhan and Y. Yang, Clickprints on the Web: Are there Signatures in Web Browsing Data? Available at SSRN: http://ssrn, 2006.

S. Parthasarathy, M. Zaki, M. Ogihara, and S. Dwarkadas, Incremental and interactive sequence mining, Proceedings of the eighth international conference on Information and knowledge management , CIKM '99, pp.251-258, 1999.
DOI : 10.1145/319950.320010

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.150.5642

M. S. Paterson and V. Dancik, Longest common subsequences, Mathematical Foundations of Computer Science. p, pp.127-142, 1994.
DOI : 10.1007/3-540-58338-6_63

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.47.4840

J. P. Pernin, . Lom, and . Scorm, Learning Design : ressources, activités et scénarios Babel -edit -, L'indexation des ressources pédagogiques numériques (journée d'étude du 16, 1994.

J. Pitkow and K. Bharat, Webviz: A tool for world wide web access log analysis, Advance Proceedings First International World-Wide Web Conference, pp.217-277, 1994.

Q. Quinlan and J. R. , Induction of decision trees, Machine Learning 1, pp.81-106, 1986.
DOI : 10.1007/BF00116251

Q. Quinlan and J. R. , C4.5: Programs for Machine Learning, 1993.

R. Rabiner and L. R. , A tutorial on hidden Markov models and selected applications in speech recognition, Proceedings of the IEEE, vol.77, issue.2, pp.257-286, 1989.
DOI : 10.1109/5.18626

M. Ramdani, Système d'induction formelle à base de connaissances imprécises, 1994.

D. Renaudie, Classification automatique de comportements d'élèves apprenant l'algèbre Actes de la conférence Majecstic, 2003.

C. Rick, Efficient Computation of All Longest Common Subsequences, Proceedings of the 7th Scandinavian Workshop on Algorithm Theory, pp.407-418, 2000.
DOI : 10.1007/3-540-44985-X_35

G. Salton and C. Buckley, Term weighting approaches in automatic text retrieval. Information Processing and Management, pp.513-523, 1988.

P. M. Sanderson and C. Fisher, Exploratory sequential data analysis: foundations. Human-Computer Interaction, pp.251-317, 1994.
DOI :

D. L. Scapin and C. Pierret-golbreich, MAD: Une méthode analytique de description de tâches. Colloque sur l'ingénierie des Interfaces Homme-Machine, pp.131-148, 1989.

J. Shawe-taylor and N. Cristianini, Kernel Methods for Pattern Analysis, p.521813972, 2004.
DOI : 10.1017/CBO9780511809682

J. Shen, L. Li, T. G. Dietterich, and J. L. Herlocker, A hybrid learning system for recognizing user tasks from desk activities and email messages, International Conference on Intelligent User Interfaces, 2006.

J. Shi and J. Malik, Normalized cuts and image segmentation, 2000.

A. C. Siochi and D. Hix, A study computer supported user interface evaluation using maximal repeating pattern analysis. CHI 91, pp.301-305, 1991.

L. Teo and B. E. John, Comparisons of keystroke-level model predictions to observed data extended abstracts on Human factors in computing systems table of contents. SESSION: Work-in-progress table of contents, Conference on Human Factors in Computing Systems CHI '06, pp.1421-1426, 2006.

G. Vignaux, Les relations sémantiques et cognitives appliquées aux notions dans un texte. http://www.colisciences.net/pdf/Typologie des relations.pdf W3C, 2000 World Wide Web Consortium Document Object Model (DOM) Level 2 Events Specification, 2000.

R. A. Wagner and M. J. Ficher, The String-to-String Correction Problem, Journal of the ACM, vol.21, issue.1, pp.168-173, 1974.
DOI : 10.1145/321796.321811

J. H. Ward, Hierarchical Grouping to Optimize an Objective Function, Journal of the American Statistical Association, vol.58, issue.301, pp.236-244, 1963.
DOI : 10.1007/BF02289263

T. A. Welch, A Technique for High-Performance Data Compression, Computer, vol.17, issue.6, pp.8-19, 1984.
DOI : 10.1109/MC.1984.1659158

. Wikipédia, Dernière modification de l'article en, 2003.

X. Yan, J. Han, and R. Afshar, CloSpan: Mining: Closed Sequential Patterns in Large Datasets, SDM'03, 2003.
DOI : 10.1137/1.9781611972733.15

S. X. Yu and J. Shi, Multiclass spectral clustering, Proceedings Ninth IEEE International Conference on Computer Vision, 1965.
DOI : 10.1109/ICCV.2003.1238361

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.4538

L. A. Zadeh, Fuzzy sets, Information and Control, pp.338-353, 1965.

D. Zaki, SPADE: An Efficient Algorithm for Mining Frequent Sequences, Machine Learning, pp.31-60, 2001.